Description:
Key Words:
Urban Planning,Data Science,Performative Design,Robotics
Required Skills:
Beginner Rhino 3D, Beginner Grasshopper 3D
Required Software:
Rhino 3D, Grasshopper 3D, QGIS
Required Hardware:
PC / Laptop, Good processor (i7), SSD Drive, 16 Gb Ram
Maximum number of participating students:
60
The increasing availability of data has created new opportunities not only for the monitoring and management of cities but also for changing the way we describe, understand and design them, challenging many basic assumptions of design, planning and construction-related professions.
Through an initial introduction to urban analytics, big data visualization and urban dynamic cartographies, during the first part of the workshop attendees will be able to understand the use of big data in urban analytics as well as use QGIS to map urban data such as touristic activities and green areas in the city in an effort to identify public spaces that suffer from a lack of greenery. After identifying these areas in the city, the second part of the workshop will focus on using the information gathered by the urban analysis to propose design performative strategies that could mitigate the negative effects of the lack of greenery in the identified areas of the city. The final part of the workshop will focus on 3d printed urban elements for the public space of these areas, integrating the limits and potential of robotic fabrication with recycled plastic waste.
From big data urban analytics to computational design and finally, to robotic 3d Printing, the attendees will be introduced to circular construction principles in order to develop a series of urban elements for areas in the city that need more greenery and improved microclimatic conditions.
The workshop will conclude with a final roundtable discussion on Big Data Urbanism, Computational Design and Robotics where tutors, students and other participants will have the opportunity to engage and interact in a discussion about the future of urbanism, design and the construction sector.